---
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: ByteDance-Seed/Seed-OSS-36B-Instruct
language:
- en
- zh
---

# catalystsec/Seed-OSS-36B-Instruct-4bit-DWQ

This model was quantized to 4-bit using DWQ with mlx-lm version **0.27.1**, distilled from a BF16 teacher model.

| Learning Rate | Total Loss | KL Loss | Activation Loss | Improvement |
|---------------|------------|---------|-----------------|-------------|
| 2e-7          | 0.415      | 0.025   | 0.390           | 15.8%       |

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("catalystsec/Seed-OSS-36B-Instruct-4bit-DWQ")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```